Senior Master Data Analyst
Shearers FoodsAbout the role
Shearer's is a leading contract manufacturer and private label supplier in the snack industry in North America. Headquartered in Massillon, Ohio, Shearer's has 17 state-of-the-art, geographically diverse manufacturing facilities in Ohio, Texas, Arkansas, Arizona, Minnesota, Pennsylvania, Virginia, Iowa, Ontario and Alberta, Canada, including one of the industry's first Leadership in Energy and Environmental Design platinum LEED certified facilities in Massillon, Ohio. The Company is known for producing the highest quality snacks in assorted flavors and sizes, including kettle cooked potato chips, traditional potato chips, tortilla chips, cheese curls and other extruded snacks, and corn chips, as well as cookies, crackers, and wafers.
Senior Master Data Analyst
Massillon, OH (Onsite T, W, Th)
The Senior Master Data Analyst is responsible for overseeing and managing the lifecycle of critical business data across various systems within the organization. This role requires advanced knowledge of data management practices, including data governance, data integration, and ensuring the highest standards of data accuracy and quality. The Senior Master Data Analyst collaborates with key business units and IT to establish and maintain effective data management practices, ultimately supporting data-driven decision-making across the company.
Key Responsibilities:
- Master Data Management (MDM)
- Lead the management and continuous improvement of master data processes, ensuring that data is accurate, consistent, and aligned with business goals.
- Identify opportunities for automating and streamlining data management processes to improve efficiency and reduce errors.
- Update and maintain master data records related to customers, suppliers, products, materials, and other critical business data entities.
- Review and ensure master data records are in compliance with internal policies, industry standards, and regulatory requirements.
- Collaborate with internal departments to obtain necessary documentation.
- Data Quality & Integrity:
- Oversee the monitoring, cleansing, and validation of master data, ensuring the highest standards of data integrity and accuracy across all systems.
- Perform regular audits of master data, identify discrepancies, and implement corrective actions to improve data quality.
- Develop and manage data standards, ensuring master data attributes are categorized correctly and aligned with organizational guidelines.
- Monitor the lifecycle of master data records, including updates, deactivations, and discontinuations, ensuring it is reflected accurately across all systems.
- Troubleshoot and resolve complex master data issues in a timely manner, working with IT and business units to identify root causes and implement long-term solutions.
- Data Governance & Strategy:
- Develop, implement, and enforce data governance frameworks and best practices to ensure data quality and compliance with internal and external standards.
- Lead the monitoring and enforcement of data governance standards across the organization.
- Ensure that master data management practices comply with relevant data privacy regulations, security policies, and industry standards.
- System Integration & Data Modeling:
- Lead efforts for integrating master data into ERP and other enterprise systems.
- In partnership with IT, develop and maintain data models and structures to enhance data accessibility.
- Collaboration & Support:
- Work closely with business units (e.g., finance, supply chain, IT, and operations) to understand data requirements and align master data management with business needs.
- Partner with cross-functional teams to ensure new master data records are correctly set up in the system.
- Training & Mentoring: Provide training and guidance to junior analysts and team members, promoting best practices in master data management.
- Data Analytics & Reporting: Generate and present data quality reports, KPIs, and dashboards to senior leadership, providing insights into data management performance and areas for improvement.
- Project Management: Lead or participate in data-related projects, ensuring timely delivery and alignment with business objectives. Manage timelines and resources for master data initiatives.
Skills & Qualifications:
- Bachelor’s degree in Business, Finance, Supply Chain, Operations, Data Management, Computer Science or a related
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